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A Knowledge-Based Approach to Improve Urban Transportation Decision-Making

by Stephen G. Ritchie, Univ of California, Irvine, CA, USA,
C. Yeh, Univ of California, Irvine, CA, USA,



Document Type: Proceeding Paper

Part of: Managing Urban Transportation as a Business

Abstract:

This paper describes a microcomputer-based tool that has been developed to facilitate acquisition and improvement of skills in urban transportation decision-making, in an educational environment. This tool interfaces with a complex gaming-simulation model and involves a knowledge-based expert system computer program. The gaming-simulation model synthesizes the consequences of the decision-making activities of a Transportation Director (model user) in a city with urgent transportation needs. The role of the expert system is to advise users on how to achieve multiple street and transit system objectives over a 10 year period, during which time several hundred decisions must be made. Each year, the expert system suggests actions to the user that can be used as possible inputs to the following year's budgetary and decision-making process. Results of limited tests to date indicate that this expert system permits achievement of performance levels that very few unassisted users can attain.

Subject Headings: Expert systems | Decision making | Computer models | Urban and regional development | Knowledge-based systems | Game theory | Artificial intelligence (AI)

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